AI工程师
AI Engineer
AI 工程师（LLM 与生成式 AI）– 全栈 / 产品导向
职位：AI 工程师（全职 | 远程）
寻找一位有才华的 AI 工程师，推动 AI 解决方案在生产环境中的开发、集成和部署。理想的候选人具备扎实的软件工程基础，有使用 LLM 和 RAG 系统的经验，并擅长构建可扩展、生产就绪的系统。
职责：
- 在生产级应用中设计、构建和部署 AI 驱动的功能。
- 开发后端服务和 API，将 LLM 集成到实际产品中。
- 构建和优化基于 LLM 的工作流程，包括提示工程、工具使用、RAG 系统和代理框架。
- 负责 AI 功能的端到端交付，从构思到部署和监控。
- 与软件工程师、数据科学家和产品团队合作，将 AI 能力集成到可扩展系统中。
- 与大型代码库协作，并参与系统架构和技术决策。
- 使用测试框架、指标和迭代来评估和提升 LLM 性能。
- 收集、预处理和管理 AI 驱动功能所需的数据（不涉及大量模型训练）。
- 跟踪生成式 AI 的最新进展，并将其应用于产品开发。
要求：
- 计算机科学、工程或相关领域的学士或硕士学位。
- 4-5 年作为软件工程师、AI 工程师或类似（以产品为导向）角色的经验。
- 位于哥伦比亚（仅限）。
- 英语 B2+ 或 C1 水平。
- 扎实的软件工程基础（数据结构、系统设计、整洁代码）。
- 精通 Python，并有构建后端系统（API、服务、集成）的经验。
- 有集成 LLM（OpenAI GPT-4, Anthropic Claude, Google Gemini, 以及开源模型如 Llama）的实际经验。
查看英文原文
AI ENGINEER (LLMS & GENERATIVE AI) – FULL-STACK / PRODUCT-FOCUSED
THE ROLE:
You will join a dynamic team focused on building and scaling AI-powered products. This role is centered around designing, developing, and deploying AI-driven features within real-world applications, not just experimenting with models.
We are looking for a strong software engineer with hands-on experience integrating LLMs into production systems, working across backend services, APIs, and AI workflows.
You will play a key role in shipping AI-powered functionality using technologies such as OpenAI GPT-4, Anthropic Claude, Google Gemini, and open-source models like Llama, while staying at the forefront of generative AI advancements.
POSITION: AI ENGINEER (FULL-TIME | REMOTE)
Seeking a talented AI Engineer to drive the development, integration, and deployment of AI solutions into production environments. The ideal candidate has strong software engineering fundamentals, experience working with LLMs and RAG systems, and thrives in building scalable, production-ready systems.
RESPONSIBILITIES:
- Design, build, and deploy AI-powered features within production-grade applications.
- Develop backend services and APIs that integrate LLMs into real-world products.
- Build and optimize LLM-based workflows, including prompt engineering, tool usage, RAG systems, and agent frameworks.
- Own end-to-end delivery of AI features, from ideation to deployment and monitoring.
- Collaborate with software engineers, data scientists, and product teams to integrate AI capabilities into scalable systems.
- Work with large codebases and contribute to system architecture and technical decisions.
- Evaluate and improve LLM performance using testing frameworks, metrics, and iteration.
- Collect, preprocess, and manage data required for AI-powered features (not heavy model training).
- Stay up to date with advancements in generative AI and apply them to product development.
REQUIREMENTS:
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
- 4-5 years of experience as a Software Engineer, AI Engineer, or similar (product-focused) role.
- Located in COLOMBIA (only).
- B2+ or C1 English Level.
- Strong software engineering fundamentals (data structures, system design, clean code).
- Proficiency in Python and experience building backend systems (APIs, services, integrations).
- Hands-on experience integrating LLMs (OpenAI GPT-4, Anthropic Claude, Gemini, Llama) into applications.
👉 Claude experience is a strong plus.
- Experience building RAG systems, agent frameworks, or LLM-based applications.
- Experience working in production environments and with large codebases.
- Experience shipping features or products end-to-end (from development to deployment).
- Familiarity with SQL (Postgres) and data handling.
- Strong problem-solving and analytical skills.
- Excellent communication skills and ability to work in a multidisciplinary environment.
NICE TO HAVE:
- Experience deploying applications or AI services on cloud platforms (AWS, GCP, Azure).
- Experience with modern backend or full-stack frameworks.
- Familiarity with big data tools (Hadoop, Spark).
- Contributions to AI-related projects (open-source or applied).
- Experience building AI features in industries such as finance, healthcare, retail, or tech.
IMPORTANT NOTE:
This role is not focused on academic research or purely statistical modeling.
We are specifically looking for engineers who build and ship AI-powered products into production environments, working on real-world applications and scalable systems.
ABOUT US:
We are focused on building and optimizing AI-powered platforms, bringing together cutting-edge technologies and strong engineering practices. The team is dedicated to delivering scalable, high-impact AI solutions that solve real-world problems.
If you're passionate about building AI products and want to make a tangible impact, this is an opportunity to help shape the future of applied AI. 🚀